Mostafa Rahimi Azghadi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mostafa Rahimi Azghadi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Kaiming He
  4. Yoshua Bengio
  5. Charu C. Aggarwal
  6. Christian Szegedy
  7. Alex Krizhevsky

Papers from Mostafa Rahimi Azghadi's perspective

Ordered by how strongly the researchers Mostafa Rahimi Azghadi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers